Build a fraud data sharing community

Yes. We help with every stage of community planning — from identifying your community niche and defining membership requirements, to designing governance frameworks, funding models, and the technical infrastructure that underpins it all.

Whether you're a central bank, government agency, or industry body, we'll work with you to design a community that fits your sector's needs and regulatory context.

We support a range of platforms and standards for community-based sharing:

CloudMISP — Our fully managed MISP platform, purpose-built for multi-party fraud data sharing with member isolation, sharing groups, and enterprise-grade operations.

We also support self-hosted MISP, STIX/TAXII-based exchanges, and custom API integrations. If your community has specific platform requirements, we can adapt to them.

Yes. We've worked with regulators globally and can support any structured data exchange requirement. We'll work with you to understand your regulator's specific format, reporting cadence, and connectivity requirements, then configure the platform accordingly.

Getting member organisations from “interested” to “actively sharing” is the hardest part of running a community. We make onboarding frictionless by handling the technical setup — provisioning accounts, configuring sharing groups and access controls, and integrating the platform with each member's existing fraud or security tools via API. We also run analyst workshops that cover what to share, how to structure indicators, and how to get value from community data. New members can start by consuming shared intelligence before they're ready to contribute, which lowers the barrier to entry. After go-live we help community operators spot inactive members and re-engage them so the community keeps growing. We've done this at national scale with Australia's threat sharing program. Talk to us about member onboarding.

Yes. The same platform that supports fraud data sharing can also be used for cyber threat intelligence. Many communities share both. Learn more about our cyber threat intelligence services.

Fraud rings don't target one bank at a time — they hit multiple institutions simultaneously. No single bank sees the full picture, which is exactly what the attackers rely on. Sharing mule account indicators, fraud typologies, and emerging scheme patterns across banks means every member detects attacks faster and with more confidence.

The key concern we hear from CISOs is loss of control over sensitive data. MISP's sharing groups and granular access controls address this directly: each bank decides exactly what it shares, with whom, and under what terms. Proprietary customer data never leaves your organisation — what gets shared are anonymised indicators and tactical patterns that help the whole community defend better.

This isn't theoretical. Communities like the UK's CIFAS and Australia's AFP-led fraud intelligence program have proven the model at scale. The net effect is straightforward: your own detection rates improve as other members contribute their observations, and you gain early warning of schemes before they reach your customers.

Regulators increasingly expect financial institutions to actively participate in fraud intelligence sharing — not just file compliance reports after the fact. Running or joining a structured sharing community demonstrates proactive risk management to your supervisors and positions your institution as a responsible actor in the financial ecosystem.

Emerging regulations are making this expectation explicit. The EU's PSD3/PSR framework, the UK's APP fraud measures, and similar obligations in Australia all point toward mandatory participation in fraud data sharing. A community built on a platform like CloudMISP means you're already ahead of these requirements rather than scrambling to comply after they take effect.

From a practical standpoint, the platform's logging and reporting capabilities produce audit-ready evidence of your sharing activity. When a supervisor asks what your institution is doing to combat fraud collaboratively, you have a clear, documented answer — complete with participation metrics, sharing volumes, and contribution history.